• IE interfaces
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• v.8 no.3
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• pp.231-239
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• 1995

일반적으로 공정설계자는 실제 절삭을 위하여 각 공정의 표준 절삭조건에 대하여 적적한 보정을 수행한다. 이러한 보정과정에서 사용되는 지식은 경험에 바탕을 둔 것이므로 이의 시스템화는 경험 지향적인 방법론(Experience-Oriented Method)을 요구한다. 본 논문에서는 밀링 공정을 대상으로, 검색된 표준 절삭조건에 대하여 최적의 절삭조건을 결정하기 위한 방법과 제안된 방법에 의해 개발된 시스템을 소개한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.91-92
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• 2008

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1992.04a
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• pp.115-119
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• 1992

산업의 발전과 더불어 새로운 재료의 개발에 대한 요구가 날로 증가하고 있으며 이와 같은 요구에 부응하기위하여 각종의 신소재가 개발되고있다. 이들 신소재 중에서 섬유강화 복합재료는 높은 비탄성과 비강도특성 때문에 구조물의 경량화가 요구되는 우주선, 항공기 등에 주로 이용 되어 왔으며 최근에는 복합재료의 가격이 저렴해 지면서 이 재료의 높은 비탄성과 감쇠특성을 이용하고자 스포츠용품 및 기계 부품에도 섬유강화 복합재료의 이용이 증가 되고 있다. 항공기나 고속회전체의 부품을 복합재료로 제작하였을 경우 복합재료를 다른 금속이나 다른 복합재료부품에 접합(joining)시켜야 하는데 이 때문에구조물의 효율은 Joint에서 주로 죄우된다. Joint를 제작하기 위해서는 복합재료의 표면을 가공한 수 Adhesive를 이용하거나 Bolt로 체결하기 위해 구멍 뚫기 작업이 필요하여 드릴링을 하였을때 이 재료가 매우 연마성이 강하여 심한 공구마멸을 일으키며, 드릴의 입구와 출구쪽에서 각 ply들의 박리 현상이 발생하고, 드릴가공된 벽면으로부터 섬유 또는 레진의 탈락현상등이 발생하는 결점을 가지고 있다. 따라서 본 연구에서는 이러한 결점을 최소화하여 고정밀도의 높은 생산성을 얻기위한 가공기술에 대한 자료를 만들고 최적 절삭조건 및 복합재료가공용 드릴의 설계를 위한 지침을 제시하고자 고속도강 표준드릴을 사용하여 유리섬유 에폭시 복합재료및 탄소섬유 에폭시 복합재료의 드릴링 실험에서 절삭조건이 가공면 생성, 공구마멸, 절삭력에 미치는 영향에 대하여 조사하였다.

• Journal of Life Science
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• v.13 no.6
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• pp.917-923
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• 2003

The present investigation was conducted to determine the chemical oxygen demand (COD) removal efficiency by Pseudomonas aeruginosa EMS1. The COD removal efficiency in the medium containing 1% metal working fluid (MWF) was 12% after cultivation of 4 days. The composition of optimum medium for the COD removal efficiency of 1% MWF by P. aeruginosa EMS1 were NH$_4$Cl 0.3%,$ K_2HPO_4\; 0.05%,\; KH_2PO_4\; 0.04%,\; MgSO_4.7H_2O\; 0.05%,\; CaCl_2.2H_2O 0.03%$ and $FeSO_4.7H_2O$ 0.04% at initial pH 7.0 and $30^{\circ}C$. Under this condition, the highest the COD removal efficiency was observed after 4 days.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.1
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• pp.74-81
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• 2007

절삭가공에서 가공조건은 가공비용의 감소와 제품 품질의 향상에 영향을 주는 주요 요인 중의 하나이다. 본 논문에서는 밀링작업을 대상으로 가공조건을 보다 효율적으로 수정하고 이를 지속적으로 향상시킬 수 있는 방법론과 이를 기반으로 개발된 작업설계시스템을 소개한다. 개발된 시스템은 (1) 표준 가공조건을 세부 공정별 요구 사항이 만족되도록 수정하고, (2) 퍼지아트맵 신경회로망 모델을 이용하여, 생성된 가공조건을 온라인(incremental) 학습한 후, (3) 보다 효율적인 새로운 가공조건이 생성되었을 때 이를 교체알고리즘이라 불리는 제안된 알고리즘을 이용하여 기존의 가공조건을 대체하는 3가지 핵심 기능으로 구성된다. 우선 새로운 방법론이 적용된 작업설계시스템의 전반적인 내용을 소개한 후, 다음으로 다양한 시뮬레이션을 통하여 제안된 방법론의 성능을 예시한다. 마지막으로 실제부품에 적용한 실행 결과를 기술하고 토의한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.94-99
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• 2002

KS and ISO have proposed several evaluation methods of conventional machine tools. Even though the accuracy of the tools can be evaluated with these methods, there are still no proper evaluation methods of high speed machining. Because it is hard to evaluate characteristics of high speed machining such as decrease of cutting temperature, cutting force, and reduced machining time. Therefore, new evaluation method for high speed machine should be developed. In this paper, several shapes of model have been proposed to evaluate cutting accuracy of high speed machine.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.1871-1878
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• 2014

PMMA (Polymethyle-methacrylate) optical components have recently been increasingly used as one of the important part of the high precision equipments. This research presents comparatively the surface preparation of light incident plane, LIP (Light Incident Plane) of LGP (Light Guide Panel) by end milling, high speed shaping, and vibration assisted high speed shaping. From several experiments, the results show that the surface quality was improved in high speed shaping and the vibration assisted HSS show not only decreasing waviness and breakage also raising the straightness property. For applying high speed shaping and vibration assisted HSS, an additional tool post was developed and experimentally used.

• Journal of the Korean Society of Safety
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• v.21 no.6 s.78
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• pp.116-121
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• 2006

In metal cutting processes, cutting conditions have an influence on reducing the production cost and deciding the quality of a final product. Process planners usually make modification to recommended cutting parameters obtained from machining data handbooks in order to satisfy requirements for individual operation. The modified cutting parameters also need to be examined for the safe machining. In this paper, a new operation planning system that allows the generation and check of modified cutting parameters is proposed for the milling process. A neural network methodology is introduced to identify mathematical models for generation of the modified cutting parameters, and several simplified rules and equations are presented for the check of the cutting parameters. Finally, the results are demonstrated with an example part.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.8
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• pp.53-62
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• 1995

In recent years, the rapid development of the machine tool and tough insert has made metal removal rates increase, and automatic system without human supervision requires a higher degree reliability of machining process. Therefore the control of chips is one of the important topics which deserves much attention. The chip classification was made based upon standard deviation of the mean cutting force measured by a tool dynamometer. STS304was chosen as the workpiece which is known as the difficult-to-cut material and mainly saw-toothed chip produced, and the chip type according to the standard deviation of mean cutting force was classified into five categories in this experiment. Long continuous type chip which interrupts the normal cutting process, and damages the operator, tool and workpiece has low standard deviation value, while short broken type chip, which is favourable chip for disposal, has relatively large standard deviation value. In addition, we investigated the possibility that the chip type can be predicted analyzing the relationship between chip type and cutting condition by the trained neural network, and obtained favourable results by which the chip type can be predicted with cutting conditon before cutting process.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.10
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• pp.1307-1313
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• 2011

The mechanical limited slip differential (LSD) in vehicles is being replaced by the electromagnetic LSD because of its fast response and better active control characteristics. The coil housing made of STS 304 is one of the most important parts in the solenoid assembly of the electromagnetic LSD. High geometrical accuracy is a prerequisite for the manufacture of such coil housings, but precision machining is difficult because of the use of STS 304 thin plate and the variance in machining variables. The aim of this study is to optimize the mean and variance of the shape accuracy in the coil housing by finding a robust solution for the machining process conditions. The mean and standard deviation of the jaw contact pressure, cutting speed, and feed rate are considered to be the major parameters for minimizing the geometrical mean and variance. The response surface model based on the second-order Taylor series is combined together to minimize the mean and variance of the shape accuracy of the coil housing.